Data Mining in Heat Treatment
Document Type
Article
Publication Date
3-1-2006
Abstract
Various data mining techniques developed by CHTE to enhance the position of the heat treating industry, by applying fundamental research, to solve problems and to advance heat treatment technology are discussed. A technique, called QuenchMiner™ system, provides decision support in heat treating to optimize the processes involved in heat treatment. CHTE has proposed a technique called AutoDomainMine, which is based on data mining guided by the basic knowledge of the domain. AutoDomainMine helps in estimating a set of input conditions that would produce the desired graph for a heat transfer curve in a quenching experiment. The AutoDomainMine estimation can be used to select process parameters for quenching in the industry. AutoDomainMine is also useful for intelligent tutoring systems in heat treating.
Montclair State University Digital Commons Citation
Sisson, Richard D. and Varde, Aparna, "Data Mining in Heat Treatment" (2006). Department of Computer Science Faculty Scholarship and Creative Works. 203.
https://digitalcommons.montclair.edu/compusci-facpubs/203